CUDA Quantum: The Platform for Integrated Quantum-Classical Computing
DescriptionA critical challenge to making quantum computers work in practice is effectively combining them with classical computing resources. From the classical side of hybrid algorithms and integrated application workflows to decoding syndromes for quantum error correction, tightly coupled high performance classical computing will be important for many of the functions required to realize useful quantum computing. A key tool for enabling research and application development is a programming model and software toolchain which allow researchers to straightforwardly co-program classical and quantum computers and leverage the best tools available for each. The NVIDIA Quantum Optimized Device Architecture (QODA) is a single-source programming model in C++ and Python for heterogeneous quantum-classical computing. The QODA platform provides several advantages and new capabilities that enable users to get more out of quantum processors. Here, QODA is discussed and demonstrated for several use cases including Variational Quantum Eigen solver (VQE) where it provides a significant (~287x) performance and capability benefit over existing quantum programming.
Special Session (Research)
TimeThursday, July 13th11:00am - 11:30am PDT
Location3001, 3rd Floor